Abstract:Hormones are key drivers of cancer development. To date, interest has largely been focussed on the classical model of hormonal gene regulation, but there is increasing evidence for a role of hormone signalling pathways in post-translational regulation of gene expression. In particular, a complex and dynamic network of bi-directional interactions with microRNAs (miRs) at all stages of biogenesis and during target gene repression is emerging. miRs, which act mainly by negatively regulating gene expression throug… Show more
“…Abnormal expression of miRNAs in cancer is related to different mechanisms, including genomic mutations, epigenetic changes, chromosomal abnormalities and alterations in miRNA biogenesis, i.e. the altered expression of the miRNA processing endoribonuclease Dicer [20].…”
microRNAs (miRNAs) are small non-coding RNAs that control gene expression posttranscriptionally and are part of the giant non codifying genoma. Cumulating data suggest that miRNAs are promising potential biomarkers for many diseases, including cancer. Prostate cancer (PCa) detection is currently based in the serum prostate-specific antigen biomarker and digital rectal examination. However, these methods are limited by a low predictive value and the adverse consequences associated with overdiagnosis and overtreatment. New biomarkers that could be used for PCa detection and prognosis are still needed. Recent studies have demonstrated that aberrant expressions of microRNAs are associated with the underlying mechanisms of PCa. This review attempts to extensively summarize the current knowledge of miRNA expression patterns, as well as their targets and involvement in PCa pathogenesis. We focused our review in the value of circulating and urine miRNAs as biomarkers in PCa patients, highlighting the existing discrepancies between different studies, probably associated with the important methodological issues related to their quantitation and normalization. The majority of studies have been performed in serum or plasma, but urine obtained after prostate massage appears as a new way to explore the usefulness of miRNAs. Large screening studies to select a miRNA profile have been completed, but bioinformatics tools appear as a new approach to select miRNAs that are relevant in PCa development.Promising preliminary results were published concerning miR-141, miR-375 and miR-21, but larger and prospective studies using standardized methodology are necessary to define the value of miRNAs in the detection and prognosis of PCa.
“…Abnormal expression of miRNAs in cancer is related to different mechanisms, including genomic mutations, epigenetic changes, chromosomal abnormalities and alterations in miRNA biogenesis, i.e. the altered expression of the miRNA processing endoribonuclease Dicer [20].…”
microRNAs (miRNAs) are small non-coding RNAs that control gene expression posttranscriptionally and are part of the giant non codifying genoma. Cumulating data suggest that miRNAs are promising potential biomarkers for many diseases, including cancer. Prostate cancer (PCa) detection is currently based in the serum prostate-specific antigen biomarker and digital rectal examination. However, these methods are limited by a low predictive value and the adverse consequences associated with overdiagnosis and overtreatment. New biomarkers that could be used for PCa detection and prognosis are still needed. Recent studies have demonstrated that aberrant expressions of microRNAs are associated with the underlying mechanisms of PCa. This review attempts to extensively summarize the current knowledge of miRNA expression patterns, as well as their targets and involvement in PCa pathogenesis. We focused our review in the value of circulating and urine miRNAs as biomarkers in PCa patients, highlighting the existing discrepancies between different studies, probably associated with the important methodological issues related to their quantitation and normalization. The majority of studies have been performed in serum or plasma, but urine obtained after prostate massage appears as a new way to explore the usefulness of miRNAs. Large screening studies to select a miRNA profile have been completed, but bioinformatics tools appear as a new approach to select miRNAs that are relevant in PCa development.Promising preliminary results were published concerning miR-141, miR-375 and miR-21, but larger and prospective studies using standardized methodology are necessary to define the value of miRNAs in the detection and prognosis of PCa.
“…Накопление данных о биологических функциях некодирующих РНК, в частности так называемых микроРНК (microRNA, miRNA), подготовило почву для исследования воз-можного влияния этой группы регуляторных молекул на внутриклеточные эффекты ПГ. Согласно результа-там недавних исследований, взаимозависимые иска-жения регуляторных функций ПГ и профиля микроРНК играют значимую патогенетическую роль в развитии РМЖ и РПЖ [5][6][7].…”
Section: том 2 обзорные статьиunclassified
“…С учетом роли экзо-сомальной микроРНК в процессе опухолевой диссе-минации [38], андроген-регулируемые сдвиги профи-ля экспрессии микроРНК клетками РПЖ могут иметь значение в процессе формирования отдаленных мета-стазов [39]. Углубленная оценка функциональной взаимосвя-зи андрогенов и микроРНК в клетках РПЖ дана в об-зорной статье C. E. Fletcher et al [5], где приведен пе-речень 13 микроРНК, андроген-зависимость которых была показана в двух и более независимых исследова-ниях. С учетом общего количества известных микро-РНК, относительно малое число достоверно вовлечен-ных в обсуждаемый процесс молекул говорит о том, что стимуляция AR в клетках РПЖ вызывает весьма характерные изменения микроРНК-профиля.…”
“…miR-based therapeutic approaches include inhibition of oncomiRs by antisense oligonucleotides, restoration of tumour suppressors using miR mimics, and chemical modification of miRs (6).The lnRNAs HOTAIR, SPRY4-IT1, GAS5, and PANDAR, new players in tumour development and prognosis may have theranostic applications in breast cancer (7). Long non-coding RNAs (lncRNAs) exert most of their functions through protein interactions.…”
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